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Volume: 16 | Article ID: art00008
Conjoint Analysis of Parametrized Gamut Mapping Algorithms
  DOI :  10.2352/CIC.2008.16.1.art00008  Published OnlineJanuary 2008

We show that conjoint analysis, a popular multi-attribute preference assessment technique used in market research, is a well suited tool to simultaneously evaluate a multitude of gamut mapping algorithms with a psycho-visual testing load not much higher than in conventional psycho-visual tests of gamut mapping algorithms. The gamut mapping algorithms that we test using conjoint analysis are derived from a master algorithm by choosing different parameter settings. Simultaneously we can also test the influence of additional parameters like gamut size on the perceived quality of a mapping. Conjoint analysis allows us to quantify the contribution of every single parameter value to the perceived quality.

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Zofia Barańczuk, Iris Sprow, Peter Zolliker, Joachim Giesen, "Conjoint Analysis of Parametrized Gamut Mapping Algorithmsin Proc. IS&T 16th Color and Imaging Conf.,  2008,  pp 38 - 43,

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